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Parametric Continuo...
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Elton, AugustusCollege of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia
(författare)
Parametric Continuous-Time Blind System Identification
- Artikel/kapitelEngelska2023
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Institute of Electrical and Electronics Engineers (IEEE),2023
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Nummerbeteckningar
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LIBRIS-ID:oai:DiVA.org:kth-343706
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-343706URI
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https://doi.org/10.1109/CDC49753.2023.10383961DOI
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Språk:engelska
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Sammanfattning på:engelska
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QC 20240326Part of ISBN 979-8-3503-0124-3
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In this paper, the blind system identification problem for continuous-time systems is considered. A direct continuous-time estimator is proposed by utilising a state-variable-filter least squares approach. In the proposed method, coupled terms between the numerator polynomial of the system and input parameters appear in the parameter vector which are subsequently separated using a rank-1 approximation. An algorithm is then provided for the direct identification of a single-input single-output linear time-invariant continuous-time system which is shown to satisfy the property of correctness under some mild conditions. Monte Carlo simulations demonstrate the performance of the algorithm and verify that a model and input signal can be estimated to a proportion of their true values.
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González, Rodrigo A.Eindhoven University of Technology, Department of Mechanical Engineering, Eindhoven, The Netherlands
(författare)
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Welsh, James S.College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia
(författare)
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Rojas, Cristian R.,1980-KTH,Reglerteknik(Swepub:kth)u10v97p2
(författare)
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Fu, MinyueCollege of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, Australia
(författare)
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College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW, AustraliaEindhoven University of Technology, Department of Mechanical Engineering, Eindhoven, The Netherlands
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:2023 62nd IEEE Conference on Decision and Control, CDC2023: Institute of Electrical and Electronics Engineers (IEEE), s. 1474-1479
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